Preliminary application of CT and 3D-DSA data sources in 3D printing of intracranial arteriovenous ;malformations
10.3969/j.issn.1672-5921.2016.02.005
- VernacularTitle:CT与3 D-DSA数据源在颅内动静脉畸形3D打印中的初步应用
- Author:
Jianyi LI
;
Xiangxue KONG
;
Zhanglin WANG
;
Peng PENG
;
Guangzhong CHEN
;
Mengqi DONG
;
Kun QIN
;
Chao PENG
- Publication Type:Journal Article
- Keywords:
Intracranial arteriovenous malformations;
3D printing;
3D-digital subtraction angiography;
Computed tomography;
Image comparison
- From:
Chinese Journal of Cerebrovascular Diseases
2016;(2):78-81
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare the effect of thin-sliced enhanced CT scanning and 3D-DSA data sources in the 3 D printing data reconstruction of intracranial arteriovenous malformation (AVM ). Methods Five patients with AVM were selected prospectively,3 were Spetzler-Martin grade II and 2 were grade III. Two of them used 256-slice spiral CT thin slice enhanced scanning. Three used the 3D-DSA rotating imaging,and the DICOM raw data of the examination results were extracted. Digital processing was performed by using the Mimics software,and the 3 D printing was performed according to the ratio of 1∶1 obtaining the solid model and the effects were compared. Results Using the data source 3 D printing of 256 slice spiral CT thin-slice enhanced scan could obtained skull and blood vessel image information and could reveal the smallest diameter of 0. 9 mm vessel,however,the fine branch structures of the vessel were difficult to distinguish. The 3D printing based on 3D-DSA data,although the digital subtraction did not have the skull data information,the vascular branches showed more abundant. It could reveal the smallest diameter of 0. 9 mm vessel. Conclusions Using the CT thin-slice enhanced scan or 3D-DSA data source can obtain reconstruction images of AVM nidus,and 3D-DSA shows that the better effect for spatial structure of AVM nidus. It is helpful to the design of preoperative treatment scheme and the development of corresponding auxiliary tools.